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20242026
most citedMulti-Sensor Fusion for Quadruped Robot State Estimation using Invariant Filtering and Smoothing

10 citations · 10 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Experience-Driven Continual Learning of Terrain Traversability for Quadruped Robots

Luca Bricarello, João Carlos Virgolino Soares, Alberto Sanchez-Delgado +2

Safe and efficient quadruped navigation over unfamiliar terrain requires predicting terrain-robot interaction before contact: geometry and visual appearance alone cannot reveal how…

cs.RO2026

Terrain-Aware Autonomous Planetary Exploration for Exteroceptive-Proprioceptive Mapping with Quadruped Scouts

Alberto Sanchez-Delgado, João Carlos Virgolino Soares, Victor Barasuol +1

Autonomous planetary exploration requires robots to navigate unknown, uneven terrain while assessing risk, traversability, and energetic cost. Quadruped scouts are well suited for…

cs.RO2026

Chalito: An Extensible Library for Filtering-Based State Estimation in Quadruped Robots

Hilton Marques Souza Santana, João Carlos Virgolino Soares, Marco Antonio Meggiolaro +1

State estimation is essential for quadruped robots, enabling robust locomotion, navigation, and control. While many estimators have been proposed in the literature, existing implem…

cs.RO2026

Iterated Invariant EKF for Quadruped Robot Odometry

Hilton Marques Souza Santana, João Carlos Virgolino Soares, Sven Goffin +4

Kalman filter-based algorithms are fundamental for mobile robots, as they provide a computationally efficient solution to the challenging problem of state estimation. However, they…

cs.RO2026

BinWalker: Development and Field Evaluation of a Quadruped Manipulator Platform for Sustainable Litter Collection

Giulio Turrisi, Angelo Bratta, Giovanni Minelli +4

Litter pollution represents a growing environmental problem affecting natural and urban ecosystems worldwide. Waste discarded in public spaces often accumulates in areas that are d…